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dygraphsããã±ã¼ã¸ã®ãã¨ã§ããã ãã£ããã¾ããdygraphsï¼ãã³ãï¼ã¨æãããåããããã ããããæè¿ãç§ã®è¨æ¶ããã°ãã æã¯è¨æ¶ã«éãªã¯ã¨ãªï¼ä¾ï¼Rã§ããæãã«æç³»åãããããããããã±ã¼ã¸ï¼ãæãã¦ããæé©ãªçµæãスッã¨ã§ã¦ããã®ãæè¿ã¯ç¡â¦
geom_lineããã¨ããNAãå ¥ã£ã¦ããã¨ããã§ç·ãéåãã¦ãã¾ãã library("ggplot2") smp <- data.frame(x = 1:5, y = c(1:3, NA, 5)) ggplot(smp, aes(x = x, y = y, group = 1)) + geom_line() + geom_point() ãããããNAãé¤ãã¦ããã°ãç·ãã¤ãªãã§â¦
æ¨æ¥ã®ç¶ãã ãããèªåã§ããããã http://togetter.com/li/931610 ã¨ãããã¨ã§é¢æ°ã追å ããã ã¤ãã§ã«ãã©ã³ããå¤æ´ã§ããããã«ããã ä¸è¨ã³ã¼ãã§outputã¨ããååã§ç»åãåºåã§ããã ã¡ãªã¿ã«ãã®ç»åã¯Googleæ§ããã®ããã«å¤å®ããã®ã§ããâ¦
ãããã話ãããã http://memo.sanographix.net/post/140968243125 åãããã«Rã§ãã£ã¨ãããããã¤ãããã®ã ãè¦ã¤ããããªãã£ãã®ã§ä½ã£ãã ãããªæãã§ãããããã¤ããããã # ã¤ã³ã¹ãã¼ã« install_github("dichika/caption") library(caption)â¦
以ä¸ã®çµæã§ã©ã¡ããéããã¡ãã£ã¨èãã¦ã¿ã¦ã»ããã > library("microbenchmark") > microbenchmark(mean(iris$Sepal.Length), mean.default(iris$Sepal.Length)) çµæã¯ãã¡ããmean.defaultã®æ¹ãéãã Unit: microseconds expr min lq mean median uâ¦
tweedieåå¸ã使ã£ãã¢ããªã³ã°ã«ã¤ãã¦ã¯ä»¥ä¸ã®Revolutionsã®ããã°ããRã§å¦ã¶ãã¼ã¿ãµã¤ã¨ã³ã¹10 ä¸è¬åç·å½¢ã¢ãã«ããtwitterãªã©ã§è¦ããã¦æ°ã«ãªã£ã¦ããã http://blog.revolutionanalytics.com/2014/10/a-note-on-tweedie.html tweedieåå¸ã¨ã¯ tweeâ¦